Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 2.3 * weight - 93
This means that on average for every extra kilogram weight a rider loses 2.3 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 3 | CURINIER Léa | 53 |
| 9 | CATARZI Giorgia | 55 |
| 11 | ALESSIO Camilla | 58 |
| 12 | VITILLO Matilde | 51 |
| 13 | GERRITSE Femke | 59 |
| 17 | KERBAOL Cédrine | 57 |
| 29 | COLLINELLI Sofia | 62 |
| 36 | SMULDERS Silke | 51 |
| 46 | GEDRAITYTĖ Akvilė | 59 |
| 54 | TEOLIS Jade | 52 |
| 63 | SVARINSKA Lina | 53 |
| 85 | SMEKAL Finja | 61 |
| 86 | BUCH Hannah | 61 |